Use Self-Training Random Forest for Predicting Winter Wheat Yield by Yulin Shen, Benoît Mercatoris, Qingzhi Liu, Hongxun Yao, Zongpeng Li, Zhen Chen, Wensheng Wang

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DEVELOPMENT OF THE ALGORITHM OF SELF-TRAINING THE INTELLECTUAL SYSTEMS AT PRESENCE IN AMBIENCE OF THE CAUSAL RELATIONSHIPS by G. M. Ramazanov

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SURABHI: Self-Training Using Rectified Annotations-Based Hard Instances for Eidetic Cattle Recognition by Manu Ramesh, Amy R. Reibman

Subjects: “…self-training…”
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A Few-Shot Learning Framework for Depth Completion Based on Self-Training with Noise and Pixel-Wise Knowledge Distillation by Shijie Zhang, Shengjie Zhao, Jin Zeng, Hao Deng

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Leveraging Attribute Interaction and Self-Training for Graph Alignment via Optimal Transport by Songyang Chen, Youfang Lin, Ziyuan Zeng, Mengyang Xue

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Cross-domain autonomous driving visual segmentation based on enhanced target data learning by Chaoyu Rao, Xiaoyong Fang, Yunzhe Zhang, Wanshu Fan, Dongsheng Zhou

Subjects: “…Self-training…”
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Research on self-training neural machine translation based on monolingual priority sampling by ZHANG Xiaoyan, PANG Lei, DU Xiaofeng, LU Tianbo, XIA Yamei

Subjects: “…machine translation;data augmentation;self-training;uncertainty;syntactic dependency…”
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Semi-supervised Gaussian process classification algorithm addressing the class imbalance by Zhan-guo XIA, Shi-xiong XIA, Shi-yu CAI, Ling WAN

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Research on self-training neural machine translation based on monolingual priority sampling by ZHANG Xiaoyan, PANG Lei, DU Xiaofeng, LU Tianbo, XIA Yamei

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ALSEE: a framework for attribute-level sentiment element extraction towards product reviews by Hanqing Xu, Shunxiang Zhang, Guangli Zhu, Haiyang Zhu

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SSMM: Semi-supervised manifold method with spatial-spectral self-training and regularized metric constraints for hyperspectral image dimensionality reduction by Bei Zhu, Yao Jin, Xuehua Guan, Yanni Dong

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Underground Personnel Positioning Method Based on Self-training and NLOS Suppression by SHAO Xiaoqiang, HAN Zehui, MA Bo, YANG Yongde, YUAN Zewen, LI Xin

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A Semi-Supervised-Learning-Aided Explainable Belief Rule-Based Approach to Predict the Energy Consumption of Buildings by Sami Kabir, Mohammad Shahadat Hossain, Karl Andersson

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Autoformation et numérique : pratiques des enseignants pendant et après la crise du covid-19 en France by Théo Martineaud

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Sustainable Self-Training Pig Detection System with Augmented Single Labeled Target Data for Solving Domain Shift Problem by Junhee Lee, Heechan Chae, Seungwook Son, Jongwoong Seo, Yooil Suh, Jonguk Lee, Yongwha Chung, Daihee Park

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Soil Temperature Prediction via Self-Training: Izmir Case by Göksu Tüysüzoğlu, Derya Birant, Volkan Kıranoglu

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Multitask Change-Aware Network and Semisupervised Enhanced Multistep Training for Semantic Change Detection by Yifei Si, Jie Jiang

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Calibrated Adaptive Teacher for Domain-Adaptive Intelligent Fault Diagnosis by Florent Forest, Olga Fink

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An Analysis of Semi-Supervised Machine Learning in Electrical Machines by V. Raju Arvind, S. Shyamsharan, Poorvajaa Gurunathan, Krishna Kumba, Nawin Ra

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Enhancing seabed sediment classification with multibeam echo-sounding and self-training: a case study from the East Sea of South Korea by Changhoon Lee, Sujung Park, Daeung Yoon, Bo-Yeon Yi, Moonsoo Lim

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